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, molecular dynamics, and machine learning, to model battery electrolyte and solid electrolyte interphase (SEI), while collaborating with experimentalists. Qualifications • Ph.D. in Computational Materials
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-throughput measurements of molecular binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting a Postdoctor that wants to use and
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simulations using DFT (particularly of surface processes); kinetic Monte Carlo simulations; molecular dynamics simulations; classical and machine-learned force fields. Highly developed skills in scientific
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). Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, phase-field simulations). Proficiency in Python, TensorFlow/PyTorch, and scientific computing. Experience in
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& design, catalyst design & modelling, and carbon capturing & conversion. Proficiency in fluidized reactor design & optimization, hydrodynamics & molecular dynamics modelling (openFOAM, Ansys Fluent, LAMMPS
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models with a key focus on integrating pathology, radiology, and electronic health records (EHRs), while collaborating with the bioinformatics team to incorporate molecular data such as bulk RNA-Seq, whole
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models with a key focus on integrating pathology, radiology, and electronic health records (EHRs), while collaborating with the bioinformatics team to incorporate molecular data such as bulk RNA-Seq, whole
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their final master exam before 15.07.2025. It is a condition of employment that the master's degree has been awarded. Experience from molecular dynamics (MD) simulations is a requirement. Experience with the
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: Quantum simulation with Rydberg atom arrays (theory) Research Area: Atomic, molecular, and optical physics (AMO), quantum control, quantum simulation Relevant Fields: Quantum information science, quantum
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oral communication skills. Proficiency in experimental techniques such as microscopy, microfluidics, or rheology OR molecular dynamics simulation or agent-based simulation. Competent in soft skills e.g